We have developed Haptipedia, a large online gallery of haptic devices with an initial scope of 105 grounded force-feedback devices. Haptipedia was created to be a community resource that supports designers of all persuasions in ideating, finding, designing, and learning about kinesthetic haptic devices. In this AsiaHaptics workshop, you will learn how to use Haptipedia to address YOUR use case, and you can tell us how to make this resource more useful for you.

While robots are already doing a wonderful job as factory workhorses, they are now gradually appearing in our daily environments and offering their services as autonomous cars, delivery drones, helpers in search and rescue and much more.
This talk will present some recent highlights in the field of autonomous mobile robotics research and touch on some of the great challenges and opportunities.
Legged robots are able to overcome the limitations of wheeled or tracked ground vehicles. ETH’s electrically powered legged quadruped robots are designed for high agility, efficiency and robustness in rough terrain. This is realized through an optimal exploitation of the natural dynamics and serial elastic actuation.
For fast inspection of complex environments, flying robots are probably the most efficient and versatile devices. However, the limited payload and computing power of drones renders autonomous navigation quite challenging. Thanks to our custom designed visual-inertial sensor, real-time on-board localization, mapping and planning has become feasible and enables our multi-copters and solar-powered fixed wing drones for advanced rescue and inspection tasks or support in precision farming, even in GPS-denied environments.

It is well known that the dynamics of the interacting finger mediate the human tactile sensation of materials and textures but its contact dynamics also contribute to other aspects of human cognition such as proprioceptive perception and our capacity to dexterously manipulate objects. The broad range of perceptual phenomena stemming from finger mechanics makes it essential to develop further our understanding of the finger behavior during interaction and its perceptual consequences.

Our goal is to understand the principles of Perception, Action and Learning in autonomous systems that successfully interact with complex environments and to use this understanding to design future systems